Methodological opportunities in genomic data analysis to advance health equity.

🤖 Plain-English Summary

The causes and consequences of inequities in genomic research and medicine are complex and widespread. At this crucial time point, it is important to clarify where improvements in methods and practices can, or cannot, have a role in improving equity in genomics.

🔑 Key Findings

• However, it is widely acknowledged that underrepresentation of diverse populations in human genetics research risks exacerbating existing health disparities.
• Efforts to improve diversity are ongoing, but an often-overlooked source of inequity is the choice of analytical methods used to process, analyse and interpret genomic data.
• This choice can influence all areas of genomic research, from genome-wide association studies and polygenic score development to variant prioritization and functional genomics.

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